Esmaeil Nadimi

2025

Towards Full Integration of Explainable Artificial Intelligence in Colon Capsule Endoscopy’s Pathway

Nadimi, E., Braun, J.-M., Schelde-Olesen, B., Khare, S., Gogineni, V. C., Blanes-Vidal, V. & Baatrup, G., 18. feb. 2025, I: Scientific Reports. 15, 1, 10 s., 5960.

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2024

An Explainable Attention Model for Cervical Precancer Risk Classification using Colposcopic Images

Khare, S., Nadimi, E. & Blanes-Vidal, V., 15. nov. 2024, (Under udarbejdelse) I: arxiv.org. s. 1-19 19 s.

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A Systematic Review and Research Recommendations on Artificial Intelligence for Automated Cervical Cancer Detection

Khare, S., Blanes-Vidal, V., Booth, B. B., Petersen, L. K. & Nadimi, E., nov. 2024, I: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 14, 6, 34 s., e1550.

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Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning

Gogineni, V. C. & Nadimi, E. S., 12. mar. 2024.

Publikation: Working paper › Forskning

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Emotion recognition and Artificial Intelligence: A Systematic Review (2014-2023) and Research Recommendations  

Khare, S., Blanes-Vidal, V., Nadimi, E. & Acharya, U. R., feb. 2024, I: Information Fusion. 102, 36 s., 102019.

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PR024/#890 Performance of an artificial intelligence model for evaluation of colposcopic images compared to digital colposcopy and colposcopists impression

Petersen, L. K., Booth, B. B., Khare, S., Blanes-Vidal, V., Nadimi, E. & Bor, P., 2024, I: International Journal of Gynecological Cancer. 34, Suppl. 3, s. A51-A52

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2023

Epidemiological description and trajectories of patients with prostate cancer in Denmark: an observational study of 7448 patients

Blanes-Vidal, V., Tashk, A., Cantuaria, M. L., Hansen, R. S., Poulsen, C. A., Poulsen, M. H. A., Krogh, M.-L., Sheikh, S. P. & Nadimi, E., 16. nov. 2023, I: BMC Research Notes. 16, 1, 6 s., 341.

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Interobserver agreement between an artificial intelligence algorithm and colon capsule endoscopy readers on bowel-cleansing quality

Schelde-Olesen, B., Herp, J., Braun, J.-M., Koulaouzidis, A., Bjørsum-Meyer, T., Møller, L. K., Baatrup, G., Nadimi, E. & Deding, U., jun. 2023, I: iGIE. 2, 2, s. 148-153.e3

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Modeling of Electronic Health Records for Time-Variant Event Learning Beyond Bio-Markers - A Case Study in Prostate Cancer: a Case Study in Prostate Cancer

Herp, J., Braun, J. M., Cantuaria, M. L., Tashk, A., Pedersen, T. B., Poulsen, M. H. A., Krogh, M., Nadimi, E. S. & Sheikh, S. P., 2023, I: IEEE Access. 11, s. 50295-50309

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2022

A CNN Architecture for Detection and Segmentation of Colorectal Polyps from CCE Images

Tashk, A., Sahin, K. E., Herp, J. & Nadimi, E. S., 2022, 2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS). IEEE, 6 s.

Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

AID-U-Net: An Innovative Deep Convolutional Architecture for Semantic Segmentation of Biomedical Images

Tashk, A., Herp, J., Bjørsum-Meyer, T., Koulaouzidis, A. & Nadimi, E., 25. nov. 2022, I: Diagnostics. 12, 12, 23 s., 2952.

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Artificial intelligence outperforms standard blood-based scores in identifying liver fibrosis patients in primary care

Blanes-Vidal, V., Lindvig, K. P., Thiele, M., Nadimi, E. S. & Krag, A., 21. feb. 2022, I: Scientific Reports. 12, 11 s., 2914.

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Colonkapselendoskopi

Bjørsum-Meyer, T., Schelde-Olesen, B., Koulouzidis, A., S. Nadimi, E. & Baatrup, G., 2022, I: Ugeskrift for Læger. 184, 5

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Edge artificial intelligence wireless video capsule endoscopy

Sahafi, A., Wang, Y., Rasmussen, C. L. M., Bollen, P., Baatrup, G., Blanes-Vidal, V., Herp, J. & Nadimi, E. S., 2022, I: Scientific Reports. 12, 1, 10 s., 13723.

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In-vivo Experimental Validation of the Attenuation Path Loss Model for Localization of Wireless Implanted Transmitters at 2.45 GHz

Salchak, Y., AlBadri, N., Bjorkman, T., Lau, C., Nadimi, E., Bollen, P., Espinosa, H. & Thiel, D., 2022, I: IEEE Access. 10, s. 84894-84912

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2021

Accelerating FPGA-Implementations for Mobile Medical Devices with high-level AI libraries: an Object Detection Model for Colorectal Polyp Images

Yoo, S., Wang, Y., Braun, J.-M. & Nadimi, E., 27. dec. 2021, 2021 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, s. 1-6

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A locally-processed light-weight deep neural network for detecting colorectal polyps in wireless capsule endoscopes

Wang, Y., Yoo, S., Braun, J.-M. & S. Nadimi, E., aug. 2021, I: Journal of Real-Time Image Processing. 18, 4, s. 1183-1194

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ARTIFICIAL INTELLIGENCE APPLIED TO ROUTINE DATA OUTPERFORMS STANDARD INDICES IN DETECTING LIVER FIBROSIS IN A LOW PREVALENCE POPULATION

Blanes-Vidal, V., Lindvig, K. P., Thiele, M., Nadimi, E. & Krag, A., 1. okt. 2021, I: Hepatology. 74, Suppl. 1, s. 932A 1 s., 1570.

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Feature Point Tracking-Based Localization of Colon Capsule Endoscope

Herp, J., Deding, U., Buijs, M. M., Krøijer, R., Baatrup, G. & S. Nadimi, E., 2021, I: Diagnostics. 11, 2, 17 s., 193.

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Video-based eye tracking performance for computer-assisted diagnostic support of diabetic neuropathy

Avendaño-Valencia, L. D., Yderstræde, K. B., S. Nadimi, E. & Blanes-Vidal, V., apr. 2021, I: Artificial Intelligence in Medicine. 114, 36 s., 102050.

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2020

An Innovative Polyp Detection Method from Colon Capsule Endoscopy Images Based on A Novel Combination of RCNN and DRLSE

Tashk, A. & S. Nadimi, E., 3. sep. 2020, 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE, 6 s.

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Application of Deep Learning for Autonomous Detection and Localization of Colorectal Polyps in Wireless Colon Capsule Endoscopy

S. Nadimi, E., Buijs, M., Herp, J., Krøijer, R., Kobaek-Larsen, M., Nielsen, E., Duedal Pedersen, C., Blanes-Vidal, V. & Baatrup, G., jan. 2020, I: Computers & Electrical Engineering. 81, 106531.

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Assessment of Early Stopping through Statistical Health Prognostic Models for Empirical RUL Estimation in Wind Turbine Main Bearing Failure Monitoring

Herp, J., Pedersen, N. L. & S. Nadimi, E., 2020, I: Energies. 13, 1, 18 s.

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Assessment of Lost Production: using Empirical Remaining-Power-Generation in Turbine Main Bearing Failure Monitoring

Herp, J., Pedersen, N. L. & S. Nadimi, E., 2020.

Publikation: Konferencebidrag uden forlag/tidsskrift › Poster › Forskning › peer review

Colon capsule endoscopy versus CT colonography after incomplete colonoscopy. Application of artificial intelligence algorithms to identify complete colonic investigations

Deding, U., Herp, J., Havshoei, A. L., Kobaek-Larsen, M., Buijs, M. M., Nadimi, E. S. & Baatrup, G., aug. 2020, I: United European Gastroenterology Journal. 8, 7, s. 782-789

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Estimating the Remaining Power Generation of Wind Turbines—An Exploratory Study for Main Bearing Failures

Wiese, B., Pedersen, N. L., S. Nadimi, E. & Herp, J., 2. jul. 2020, I: Energies. 13, 13, 11 s., 3406.

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Facial erythema detects diabetic neuropathy using the fusion of machine learning, random matrix theory and self organized criticality

Nadimi, E. S., Majtner, T., Yderstraede, K. B. & Blanes-Vidal, V., 8. okt. 2020, I: Scientific Reports. 10, 14 s., 16785.

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Non-Invasive Detection of Diabetic Complications via Pattern Analysis of Temporal Facial Colour Variations

Majtner, T., S. Nadimi, E., Yderstræde, K. B. & Blanes-Vidal, V., nov. 2020, I: Computer Methods and Programs in Biomedicine. 196, 9 s., 105619.

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2019

Addressing priority challenges in the Detection and Assessment of Colorectal Polyps from Capsule endoscopy and Colonoscopy in Colorectal Cancer Screening using Machine Learning

Blanes-Vidal, V., Baatrup, G. & S. Nadimi, E., 1. apr. 2019, I: Acta Oncologica. 58, Suppl. 1, s. S29-S36

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A Novel Probabilistic Long-Term Fault Prediction Framework Beyond SCADA

Herp, J., Pedersen, N. L. & S. Nadimi, E., apr. 2019.

Publikation: Konferencebidrag uden forlag/tidsskrift › Poster › Forskning

A Novel Probabilistic Long-Term Fault Prediction Framework Beyond SCADA Data - With Applications in Main Bearing Failure

Herp, J., Pedersen, N. L. & S. Nadimi, E., 2019, I: Journal of Physics: Conference Series. 1222, 10 s.

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Automatic Segmentation of Colorectal Polyps based on a Novel and Innovative Convolutional Neural Network Approach

Tashk, A., Herp, J. & S. Nadimi, E., 5. dec. 2019, I: WSEAS Transactions on Systems and Control. 14, s. 384-391

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Comparison of Deep Learning-Based Recognition Techniques for Medical and Biomedical Images

Majtner, T. & S. Nadimi, E., 22. aug. 2019, International Conference on Computer Analysis of Images and Patterns: CAIP 2019: Computer Analysis of Images and Patterns. Vento, M. & Percannella, G. (red.). Springer, s. 492-504 (Lecture Notes in Computer Science, Bind 11678).

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Developing an algorithm for autonomous detection of colorectal neoplasia in colon capsule endoscopy

Buijs, M., S. Nadimi, E., Herp, J. & Baatrup, G., 2019.

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Dual-mode endoscopic capsule with image processing capabilities

Nadimi, E. (Opfinder), Baatrup, G. (Opfinder) & Pedersen, C. (Opfinder), 27. jun. 2019, IPC nr. A61B 1/ 06, A61B1/00, A61B1/04, Patentnr. CA3124747, Prioritetsdato 22. dec. 2017, Prioritetsnr. WO2018EP86609 20181221

Publikation: Patent

Fully Automatic Polyp Detection based on a Novel U-Net architecture and Morphological Post-process

Tashk, A., Herp, J. & S. Nadimi, E., maj 2019, 2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO). IEEE, s. 37-41

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Invisible Color Variations of Facial Erythema: A Novel Early Marker for Diabetic Complications?

Blanes-Vidal, V., Majtner, T., Avendaño-Valencia, L. D., Yderstræde, K. B. & S. Nadimi, E., 2019, I: Journal of Diabetes Research. 2019, 7 s., 4583895.

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On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool

Majtner, T., Bajic, B., Lindblad, J., Sladoje, N., Blanes-Vidal, V. & S. Nadimi, E., 2019, Image Analysis: Proceedings of the 21st Scandinavian Conference, SCIA 2019. Felsberg, M., Forssén, P.-E., Sintorn, I.-M. & Unger, J. (red.). Springer, s. 439-451 (Lecture Notes in Computer Science, Bind 11482).

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2018

Assessment of bowel cleansing quality in colon capsule endoscopy using machine learning: a pilot study

Buijs, M., Ramezani, H., Herp, J., Krøijer, R., Kobæk Larsen, M., Baatrup, G. & S. Nadimi, E., aug. 2018, I: Endoscopy International Open. 6, 8, s. E1044-E1050

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A testing procedure for wind turbine generators based on the power grid statistical model

Farajzadehbibalan, S., Ramezani, M. H., Nielsen, P. & S. Nadimi, E., 2018, I: Renewable Energy. 116, B, s. 136-144

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Bayesian state prediction of wind turbine bearing failure

Herp, J., Ramezani, M. H., Bach-Andersen, M., Pedersen, N. L. & Nadimi, E. S., 2018, I: Renewable Energy. 116, s. 164-172

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Capsule endoscopy vs. colonoscopy vs. histopathology in colorectal cancer screening: matched analyses of polyp size, morphology, and location estimates

Blanes-Vidal, V., S. Nadimi, E., Buijs, M. & Baatrup, G., sep. 2018, I: International Journal of Colorectal Disease. 33, 9, s. 1309–1312

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Dimensionality reduction by bayesian eigenvalue-analysis for state prediction in large sensor systems: with application in wind turbines

Herp, J. & S. Nadimi, E., 9. okt. 2018, Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems. Association for Computing Machinery, s. 1-5

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Dual-Mode Endoscopic Capsule with Image Processing Capabilities

S. Nadimi, E. (Opfinder), Baatrup, G. (Opfinder) & Pedersen, C. D. (Opfinder), 2018, IPC nr. 16/956,720, Patentnr. 63020EP01

Publikation: Patent

Machine Learning-Based Colorectal Cancer Detection

Blanes-Vidal, V., Baatrup, G. & S. Nadimi, E., 9. okt. 2018, Proceedings of the 2018 Research in Adaptive and Convergent Systems, RACS 2018: RACS 2018. Association for Computing Machinery, s. 43-46

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On the ratio of independent complex Gaussian random variables

S. Nadimi, E., Ramezani, M. H. & Blanes-Vidal, V., okt. 2018, I: Multidimensional Systems and Signal Processing. 29, 4, s. 1553–1561

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2017

A novel approach for exposure assessment in air pollution epidemiological studies using neuro-fuzzy inference systems: Comparison of exposure estimates and exposure-health associations

Blanes-Vidal, V., Lech Cantuaria, M. & S. Nadimi, E., 2017, I: Environmental Research. 154, s. 196-203

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Esmaeil Nadimi

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